Author ORCID Identifier

Wright: https://orcid.org/0000-0002-4653-3596

Document Type

Article

Publication Date

5-29-2020

Publication Title

Child Abuse & Neglect

Volume

106

First Page

1

Last Page

11

Abstract

Background

Social disorganization theory posits that both structural and social features of a particular geographic unit are associated with criminal behavior. Despite many tests of social disorganization theory, few studies have assessed its relevance to child abuse.

Objective

This study seeks to explain neighborhood variation in child maltreatment. The goal of the current study is to fill this gap by investigating whether or not child physical abuse is related to neighborhood economic disadvantage, perceptions of the dangerousness of the neighborhood, and norms regarding delinquency.

Participants and Setting

Data were drawn from the Project on Human Development in Chicago Neighborhoods (PHDCN) and included 2364 respondents from 79 neighborhoods. The dependent variable, the variety or number of acts of severe child physical abuse, was reported by caregivers, while neighborhood characteristics were based on information from the U.S. Census Data and adult respondents living in Chicago neighborhoods.

Methods

A multilevel, over-dispersed, Poisson regression models were utilized to predict the variety of acts of severe physical abuse that a child living within a given neighborhood would experience.

Results

Neighborhood economic disadvantage was not significantly associated with greater variety of physical abuse. However, neighborhoods perceived as dangerous had greater variety of physical abuse (b = .25, p < .05), while those with a greater tolerance for deviance had somewhat lower variety of physical abuse (b= −.69, p ≤ .10).

Conclusions

These results suggest that some contextual factors may help explain child maltreatment and should be subject to additional research.

Comments

This is an Accepted Manuscript of an article published by Elsevier in [Child Abuse & Neglect] on [2020, May 29], available online: https://doi.org/10.1016/j.chiabu.2020.104562

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Available for download on Monday, May 29, 2023

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